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Section: New Software and Platforms
SCOTCH
Keywords: Mesh partitioning - Domain decomposition - Graph algorithmics - High-performance calculation - Sparse matrix ordering - Static mapping
Functional Description: Scotch is a graph partitioner. It helps optimise the division of a problem, by means of a graph, into a set of independent sub-problems of equivalent sizes. These sub-problems can also be solved in parallel.
Release Functional Description: Version 6.0 offers many new features:
sequential graph repartitioning
sequential graph partitioning with fixed vertices
sequential graph repartitioning with fixed vertices
new, fast, direct k-way partitioning and mapping algorithms
multi-threaded, shared memory algorithms in the (formerly) sequential part of the library
exposure in the API of many centralized and distributed graph handling routines
embedded pseudo-random generator for improved reproducibility
and even more...
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Participants: François Pellegrini, Sébastien Fourestier, Jun-Ho Her and Cédric Chevalier
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Partners: Université de Bordeaux - IPB - CNRS - Region Aquitaine
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Publications: Process Mapping onto Complex Architectures and Partitions Thereof - Multi-criteria Graph Partitioning with Scotch - Adaptation au repartitionnement de graphes d'une méthode d'optimisation globale par diffusion - Contributions au partitionnement de graphes parallèle multi-niveaux - A parallelisable multi-level banded diffusion scheme for computing balanced partitions with smooth boundaries - PT-Scotch: A tool for efficient parallel graph ordering - Design and implementation of efficient tools for parallel partitioning and distribution of very large numerical problems - Improvement of the Efficiency of Genetic Algorithms for Scalable Parallel Graph Partitioning in a Multi-Level Framework - PT-Scotch : Un outil pour la renumérotation parallèle efficace de grands graphes dans un contexte multi-niveaux - PT-Scotch: A tool for efficient parallel graph ordering